期刊名称：İktisadi İdari ve Siyasal Araştırmalar Dergisi
电子版ISSN：2564-7466
出版年度：2018
卷号：3
期号：5
页码：29-36
DOI：10.25204/iktisad.309241
语种：English
出版社：Iktisadi Idari ve Siyasal Arastirmalar Dergisi
摘要：Increasing hand overs in second hand car market makes it necessary to investigate the market dynamics. Moreover,increased computer technology enables collecting huge datasets. The purpose of this study is to decrease the number of features by applying explanatory factor analysis to a large dataset gathered with web scraping technique from Turkey’s second-hand car market. In the study,the data set of 1,5277 vehicles obtained from the second-hand market were combined with the web scraping technique. For each car,the following variables are available: motor power,maximum speed and whether there is an mp3 player,cassette player or cd player as well as the information whether the car has original,painted or changed parts. The 11 features transformed to 4 new features after applying factor analysis and these factors explains the variation at 62,423% degree. Cronbach Alpha reliability values are computed,and the lowest coefficient is calculated as 0,571. As a result,it is understood that,the similar features are combined in the same factor..
其他摘要：İkinci el otomobil piyasasında gerçekleştirilen devir işlemlerinin artması,piyasanın incelenmesini gerekli kılmaktadır. Bununla birlikte gelişen bilgisayar teknolojisi yardımıyla yüksek hacimli veri setlerini toplamak mümkün hale gelmektedir. Bu çalışmanı
关键词：Explanatory factor analysis; second-hand car market; web scraping
其他关键词：ikinci el otomobil; web kazıma; Açıklayıcı faktör analizi
